Today’s customers expect proactive, frictionless service, and “experience loyalty” is rapidly replacing traditional brand loyalty. Yet, many retailers struggle to deliver these tailored interactions because their insights are trapped in siloed systems and delayed by overnight batch processing. By the time you finally process a buying signal, the customer has already moved on.
To capture intent at its absolute peak, you need more than just historical analytics—you need a real-time Customer 360 foundation. This playbook explores how modernizing your architecture with an open data lakehouse empowers you to unify omnichannel data and operationalize AI to automate actions and drive revenue.
What You’ll Learn in This Ebook:
- Building a Trusted Data Foundation: How to use an open data lakehouse powered by Apache Iceberg to unify massive volumes of clickstream logs, sentiment data, and transaction histories without being locked into proprietary formats.
- Unlocking Generative & Agentic AI: How to deploy multi-agent orchestration to autonomously resolve complex customer issues in a single interaction and provide personalized digital concierges at scale.
- Mastering Real-Time AI at the Edge: Why combining streaming data tools (like Apache Kafka and Flink) with AI inference at the edge is critical for responding to buying signals with zero latency.
- Operationalizing AI with Cloudera: How to use low-code tools like Agent Studio, RAG Studio, and Fine-Tune Studio to safely deploy AI across any cloud or data center.
Download “The Retail and eCommerce AI Playbook” today and turn your customer data into your ultimate competitive advantage.
